2 papers
cs.LG2026
Agentic Monte Carlo: Simulating Reinforcement Learning for Black-Box Agents
Dae Yon Hwang, Raunaq Suri, Valentin Villecroze +4
LLM agents operate in two distinct regimes: open-weight agents amenable to reinforcement learning (RL) and black-box agents whose behaviour must be controlled purely at test time.…
cs.DC2025
Zero-Execution Retrieval-Augmented Configuration Tuning of Spark Applications
Raunaq Suri, Ilan Gofman, Guangwei Yu +1
Large-scale data processing is increasingly done using distributed computing frameworks like Apache Spark, which have a considerable number of configurable parameters that affect r…